The stability of imaging biomarkers in radiomics: a framework for evaluation-Reference-Cited by-同舟云学术

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The stability of imaging biomarkers in radiomics: a framework for evaluation

Published:2019-08-21 Issue:16 Volume:64 Page:165012
ISSN:1361-6560
Container-title:Physics in Medicine & Biology
language:
Short-container-title:Phys. Med. Biol.

Author:

Wang H Y C,Donovan E M,Nisbet A,South C P,Alobaidli S,Ezhil V,Phillips I,Prakash V,Ferreira M,Webster P,Evans P M

Publisher

IOP Publishing

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://iopscience.iop.org/article/10.1088/1361-6560/ab23a7/pdf

Reference29 articles.

1. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

2. The role of texture analysis in imaging as an outcome predictor and potential tool in radiotherapy treatment planning

3. Reproducibility of F18-FDG PET radiomic features for different cervical tumor segmentation methods, gray-level discretization, and reconstruction algorithms

4. Reliability of PET/CT Shape and Heterogeneity Features in Functional and Morphologic Components of Non–Small Cell Lung Cancer Tumors: A Repeatability Analysis in a Prospective Multicenter Cohort

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1. Reproducibility in Radiomics: A Comparison of Feature Extraction Methods and Two Independent Datasets;Applied Sciences;2023-06-19

2. Narrative review of radiomics for classifying pulmonary nodules and potential impact on lung cancer screening;Current Challenges in Thoracic Surgery;2023-02

3. HeLLePhant: A phantom mimicking non-small cell lung cancer for texture analysis in CT images;Physica Medica;2022-05

4. Reproducibility of radiomic features in CT images of NSCLC patients: an integrative analysis on the impact of acquisition and reconstruction parameters;European Radiology Experimental;2022-01-25

5. Impact of image pre-processing methods on computed tomography radiomics features in chronic obstructive pulmonary disease;Physics in Medicine & Biology;2021-12-14

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